Richard S. Sutton is Professor and iCORE chair Department of Computing Science at University of Alberta. Dr. Sutton is considered one of the founding fathers of modern computational reinforcement learning, having several significant contributions to the field, including temporal difference learning, policy gradient methods, the Dyna architecture.
Books Authored by Richard S. Sutton
Reinforcement Learning: An Introduction, Second Edition
Post date: 09 Jan 2017This textbook provides a clear and simple account of the key ideas and algorithms of reinforcement learning that is accessible to readers in all the related disciplines. Familiarity with elementary concepts of probability is required.
Publisher:
The MIT Press
Publication date: 03 Apr 2018
License: Creative Commons Attribution-NonCommercial-NoDerivs 2.0 Generic
Document Type: Textbook
Publication date: 03 Apr 2018
License: Creative Commons Attribution-NonCommercial-NoDerivs 2.0 Generic
Document Type: Textbook
Reinforcement Learning: An Introduction, Second Edition
Post date: 09 Jan 2017This textbook provides a clear and simple account of the key ideas and algorithms of reinforcement learning that is accessible to readers in all the related disciplines. Familiarity with elementary concepts of probability is required.
Publisher:
The MIT Press
Publication date: 03 Apr 2018
License: Creative Commons Attribution-NonCommercial-NoDerivs 2.0 Generic Document Type: Textbook
Publication date: 03 Apr 2018
License: Creative Commons Attribution-NonCommercial-NoDerivs 2.0 Generic Document Type: Textbook
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